IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7714-d591886.html
   My bibliography  Save this article

Validation of the Physical Activity and Leisure Motivation Scale in Adolescent School Children in Spain (PALMS-e)

Author

Listed:
  • Ricardo M. Santos-Labrador

    (Department of Physical Education, University Teacher’s College ‘Fray Luis de León’, 47010 Valladolid, Spain)

  • Alejandra R. Melero-Ventola

    (Department of Phychology, Catholic University of Ávila, 05005 Ávila, Spain)

  • María Cortés-Rodríguez

    (Department of Statistics, University of Salamanca, 37007 Salamanca, Spain)

  • Mercedes Sánchez-Barba

    (Department of Statistics, University of Salamanca, 37007 Salamanca, Spain)

  • Eva M. Arroyo-Anlló

    (Department of Psychobiology, Neuroscience Institute of Castilla-León, University of Salamanca, 37007 Salamanca, Spain)

Abstract

The aim of this study was to translate and adapt the physical activity and leisure motivation scale (PALMS) into Spanish, and to analyse its validity and reliability. The sample comprised 867 adolescents, with a mean age of 14.04 ± 1.19 years, 53.9% of whom were male. During the translation process, some of the items in the instrument were modified slightly, improving its comprehensibility. On the other hand, the exploratory factor analysis did not present an adequate factor structure, so a more in-depth analysis was carried out, using item response theory and confirmatory factor analysis; the conclusion was that it would be appropriate to eliminate several items from the scale. From this, a final shortened version, consisting of 25 items, was produced, with adequate fit indices—CFI = 0.933, TLI = 0.918, SRMR = 0.042, RMSEA = 0.052 (90% CI 0.048; 0.056)—and good reliability for each of the dimensions, ranging from 0.625 to 0.835. It can be concluded that the abbreviated version of the PALMS instrument, adapted for Spanish adolescents (PALMS-e), is a valid and reliable instrument for assessing their motives for doing physical activity.

Suggested Citation

  • Ricardo M. Santos-Labrador & Alejandra R. Melero-Ventola & María Cortés-Rodríguez & Mercedes Sánchez-Barba & Eva M. Arroyo-Anlló, 2021. "Validation of the Physical Activity and Leisure Motivation Scale in Adolescent School Children in Spain (PALMS-e)," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7714-:d:591886
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7714/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/14/7714/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. João Lameiras & Pedro L. Almeida & João Oliveira & Walan Robert da Silva & Bruno Martins & Antonio Hernández Mendo & António Fernando Rosado, 2020. "Validation of the Portuguese Adaptation of the Physical Activity and Leisure Motivation Scale (PALMS-p)," Sustainability, MDPI, vol. 12(14), pages 1-12, July.
    2. Susan (Sixue) Jia, 2018. "Leisure Motivation and Satisfaction: A Text Mining of Yoga Centres, Yoga Consumers, and Their Interactions," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiří Pospíšil & Helena Pospíšilová & Ludmila Trochtová, 2022. "The Catalogue of Leisure Activities: A New Structured Values and Content Based Instrument for Leisure Research Usable for Social Development and Community Planning," Sustainability, MDPI, vol. 14(5), pages 1-23, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Reyes-Menendez, Ana & Clemente-Mediavilla, Jorge & Villagra, Nuria, 2023. "Understanding STI and SDG with artificial intelligence: A review and research agenda for entrepreneurial action," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Aiste Dirzyte & Aleksandras Patapas & Aidas Perminas, 2022. "Associations between Leisure Preferences, Mindfulness, Psychological Capital, and Life Satisfaction," IJERPH, MDPI, vol. 19(7), pages 1-26, March.
    3. Susan (Sixue) Jia, 2021. "Analyzing Restaurant Customers’ Evolution of Dining Patterns and Satisfaction during COVID-19 for Sustainable Business Insights," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    4. Tiantian (Tiana) Shi & Biao He & Jun (Justin) Li, 2019. "Exotic or Home? Tourists’ Perception of Guest Houses, Guest Houses Loyalty, and Destination Loyalty in Remote Tourist Destinations," Sustainability, MDPI, vol. 11(14), pages 1-16, July.
    5. Doo-San Kim & Byeong-Cheol Lee & Kwang-Hi Park, 2021. "Determination of Motivating Factors of Urban Forest Visitors through Latent Dirichlet Allocation Topic Modeling," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    6. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
    7. Yi Luo & Xiaowei Xu, 2019. "Predicting the Helpfulness of Online Restaurant Reviews Using Different Machine Learning Algorithms: A Case Study of Yelp," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    8. Na Yu & Yi-Ting Huang, 2020. "Important Factors Affecting User Experience Design and Satisfaction of a Mobile Health App—A Case Study of Daily Yoga App," IJERPH, MDPI, vol. 17(19), pages 1-16, September.
    9. I-Cheng Chang & Jeou-Shyan Horng & Chih-Hsing Liu & Sheng-Fang Chou & Tai-Yi Yu, 2022. "Exploration of Topic Classification in the Tourism Field with Text Mining Technology—A Case Study of the Academic Journal Papers," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    10. Jose Ramon Saura & Pedro Palos-Sanchez & Antonio Grilo, 2019. "Detecting Indicators for Startup Business Success: Sentiment Analysis Using Text Data Mining," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
    11. Seungju Nam & Hyun Cheol Lee, 2019. "A Text Analytics-Based Importance Performance Analysis and Its Application to Airline Service," Sustainability, MDPI, vol. 11(21), pages 1-24, November.
    12. Ramon Saura, Jose & Reyes-Menendez, Ana & Palos-Sanchez, Pedro & Filipe, Ferrão, 2019. "Discovering Ugc Communities To Drive Marketing Strategies: Leveraging Data Visualization," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 7(3), pages 261-272.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7714-:d:591886. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.